MiniMax Image-01 image-to-image model transforms existing images using text prompts. Generate variations, apply style transfers, or modify images with character references. Supports multiple aspect ratios and custom dimensions. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Ожидание

$0.0035за запуск·~285 / $1

Put a crown on the beautiful lady.

turn the chair into a jelly material
MiniMax Image-01 Image-to-Image is an advanced AI model that transforms existing images using text prompts. Part of the MiniMax image-01 family, this model enables you to generate variations, apply style transfers, modify compositions, and create character-consistent images from reference photos. Perfect for creative workflows, product visualization, and content creation.
Image-Based Generation Generate new images based on an existing image input combined with text prompts. The model intelligently understands the reference image and applies your text description to create variations.
Character Reference Support Use portrait photos as character references to maintain consistent character appearance across generated images. Ideal for creating character variations, different poses, or placing characters in new scenes.
Flexible Image Dimensions Specify custom dimensions from 512×512 to 2048×2048 pixels (must be divisible by 8) for precise control over output size. Common sizes include 1024×1024, 1280×720, 1152×864, and more.
Prompt Optimization Built-in prompt optimizer automatically enhances your text descriptions for better generation results, helping you achieve the desired output even with simple prompts.
Batch Generation Generate up to 9 images in a single request, perfect for exploring variations and selecting the best result.
Reproducible Results Use seed values to generate consistent results across multiple runs, essential for iterative refinement and production workflows.
Input Image Formats:
Output Dimensions:
image fieldprompt field (max 1500 characters)size parameter like "10241024" or "1280720"num_images: Set 1-9 to generate multiple variationsprompt_optimizer: Enable for automatic prompt enhancementseed: Use for reproducible resultsFor consistent character appearance:
subject_reference parameter with type "character"Generations return as:
Response includes:
Also available on WaveSpeedAI:
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/minimax/image-01/image-to-image with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Image 01 Image To Image below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/minimax/image-01/image-to-image" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"size": "1024*1024",
"num_images": 1,
"prompt_optimizer": false,
"enable_sync_mode": false,
"enable_base64_output": false
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("minimax/image-01/image-to-image", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"size": "1024*1024",
"num_images": 1,
"prompt_optimizer": false,
"enable_sync_mode": false,
"enable_base64_output": false
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"minimax/image-01/image-to-image",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"size": "1024*1024",
"num_images": 1,
"prompt_optimizer": false,
"enable_sync_mode": false,
"enable_base64_output": false
}
)
print(output["outputs"][0]) # → URL of the generated outputImage 01 Image To Image is a MiniMax model for image editing, exposed as a REST API on WaveSpeedAI. MiniMax Image-01 image-to-image model transforms existing images using text prompts. Generate variations, apply style transfers, or modify images with character references. Supports multiple aspect ratios and custom dimensions. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/minimax/minimax-image-01-image-to-image.
Image 01 Image To Image starts at $0.004 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `prompt`, `image`, `size`, `enable_base64_output`, `enable_sync_mode`, `num_images`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/minimax/minimax-image-01-image-to-image.
Average end-to-end generation time on WaveSpeedAI is around 33 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Commercial usage rights depend on the model's license, set by its provider (MiniMax). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.